I'm solidly a generalist, I custom create designs for products and implement them, and also work on backends and large scale production ml systems. I would actually have to agree with the person you are replying to - simply because backends are text problems, (an LLMs domain), and frontends are visual - llms are just still not quite as good at seeing details as humans, whereas they can scan a large codebase for possible problems much faster than any human could. Both areas need careful supervision and feedback loops, adversarial reviews etc - but for the frontend, I find myself having to do much more manual work actually checking myself, because an llm just doesn't get symmetry if it doesn't perfectly correlate to margin being 16px on both sides of a box, etc, ie symmetry you can see in code. Or whether a design "feels" nice to look at, etc. But with backend, you give it proper guidance to create tests, do benchmarking, follow sane design patterns, etc, and its very effective.